tesseract-ocr / tesseract

Tesseract Open Source OCR Engine (main repository)

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Warning: LSTMTrainer deserialized an LSTMRecognizer! Error, data/eng/eng_num_vert.lstm is an integer (fast) model, cannot continue training

dfegjyhb opened this issue · comments

Current Behavior

Warning: LSTMTrainer deserialized an LSTMRecognizer!

Error, data/eng/eng_num_vert.lstm is an integer (fast) model, cannot continue training
Failed to continue from: data/eng/eng_num_vert.lstm
make: *** [Makefile:351: data/eng_num_vert/checkpoints/eng_num_vert_checkpoint] Error 1

Expected Behavior

i trying Fine tune lstm . i got error
Error, data/eng/eng_num_vert.lstm is an integer (fast) model, cannot continue training
Failed to continue from: data/eng/eng_num_vert.lstm
make: *** [Makefile:351: data/eng_num_vert/checkpoints/eng_num_vert_checkpoint] Error 1

Suggested Fix

No response

tesseract -v

No response

Operating System

Ubuntu 20.04 Focal

Other Operating System

No response

uname -a

No response

Compiler

No response

CPU

i7-11 gen

Virtualization / Containers

No response

Other Information

No response

how to download eng checkpoint

Warning: LSTMTrainer deserialized an LSTMRecognizer!

Did you use a model from the tessdata_fast repo? Fine tuning models from that repo is not supported.

Use a model from the tessdata_best repo for fine tuning.

yes @amitdo i'm using tessdata_fast model , still i get same error

Warning: LSTMTrainer deserialized an LSTMRecognizer!
Error, data/eng_fast/eng_num_vert.lstm is an integer (fast) model, cannot continue training
Failed to continue from: data/eng_fast/eng_num_vert.lstm
make: *** [Makefile:351: data/eng_num_vert/checkpoints/eng_num_vert_checkpoint] Error 1

i attached Screenshot

Screenshot from 2024-03-11 10-43-41

yes @amitdo i'm using tessdata_fast model , still i get same error

You should use tesstada_best.

yes @amitdo i'm using tessdata_fast model , still i get same error

You should use tesstada_best.

thanks for your help..it's work.

can you share the best hyperparameter details, i tried 200000 ITERATIONS, I did not get the best accuracy.

i attached Screenshot of train log
image